Name List Only? Target Entity Disambiguation in Short Texts. - Yixin Cao 002; Juanzi Li; Xiaofei Guo; Shuanhu Bai; Heng Ji 001; Jie Tang 001 (EMNLP, 2015)

Target Detection and Knowledge Learning for Domain Restricted Question Answering. - Mengdi Zhang 002; Tao Huang; Yixin Cao 002; Lei Hou 001 (NLPCC, 2015)

Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding. - Yixin Cao 002; Lifu Huang; Heng Ji 001; Xu Chen 017; Juanzi Li (ACL (1), 2017)

XLink: An Unsupervised Bilingual Entity Linking System. - Jing Zhang 036; Yixin Cao 002; Lei Hou 001; Juanzi Li; Hai-Tao Zheng 002 (CCL, 2017)

On Modeling Sense Relatedness in Multi-prototype Word Embedding. - Yixin Cao 002; Jiaxin Shi; Juanzi Li; Zhiyuan Liu 001; Chengjiang Li (IJCNLP(1), 2017)

Neural Collective Entity Linking. - Yixin Cao 002; Lei Hou 001; Juanzi Li; Zhiyuan Liu 001 (COLING, 2018)

Is a Common Phrase an Entity Mention or Not? Dual Representations for Domain-Specific Named Entity Recognition. - Jiangtao Zhang; Juanzi Li; Xiao-Li Li 001; Yixin Cao 002; Lei Hou 001; Shuai Wang 030 (DASFAA (1), 2018)

Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. - Yixin Cao 002; Lei Hou 001; Juanzi Li; Zhiyuan Liu 001; Chengjiang Li; Xu Chen 017; Tiansi Dong (EMNLP, 2018)

Category Multi-representation: A Unified Solution for Named Entity Recognition in Clinical Texts. - Jiangtao Zhang; Juanzi Li; Shuai Wang 030; Yan Zhang 004; Yixin Cao 002; Lei Hou 001; Xiao-Li Li 001 (PAKDD (2), 2018)

Sequential Recommendation with User Memory Networks. - Xu Chen 017; Hongteng Xu; Yongfeng Zhang; Jiaxi Tang; Yixin Cao 002; Zheng Qin 003; Hongyuan Zha (WSDM, 2018)

Visually Explainable Recommendation. - Xu Chen 017; Yongfeng Zhang; Hongteng Xu; Yixin Cao 002; Zheng Qin 003; Hongyuan Zha (CoRR, 2018)

Explainable Reasoning over Knowledge Graphs for Recommendation. - Xiang Wang 010; Dingxian Wang; Canran Xu; Xiangnan He 001; Yixin Cao 002; Tat-Seng Chua (AAAI, 2019)

Multi-Channel Graph Neural Network for Entity Alignment. - Yixin Cao 002; Zhiyuan Liu 010; Chengjiang Li; Zhiyuan Liu 001; Juanzi Li; Tat-Seng Chua (ACL (1), 2019)

Low-Resource Name Tagging Learned with Weakly Labeled Data. - Yixin Cao 002; Zikun Hu; Tat-Seng Chua; Zhiyuan Liu 001; Heng Ji 001 (EMNLP/IJCNLP (1), 2019)

Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model. - Chengjiang Li; Yixin Cao 002; Lei Hou 001; Jiaxin Shi; Juanzi Li; Tat-Seng Chua (EMNLP/IJCNLP (1), 2019)

Knowledge-Enhanced Bilingual Textual Representations for Cross-Lingual Semantic Textual Similarity. - Hsuehkuan Lu; Yixin Cao 002; Lei Hou 001; Juanzi Li (ICPCSEE (1), 2019)

DSEL: A Domain-Specific Entity Linking System. - Xinru Zhang; Huifang Xu; Yixin Cao 002; Yuanpeng Tan; Lei Hou 001; Juanzi Li; Jiaxin Shi (JIST, 2019)

KGAT: Knowledge Graph Attention Network for Recommendation. - Xiang Wang 010; Xiangnan He 001; Yixin Cao 002; Meng Liu 006; Tat-Seng Chua (KDD, 2019)

Who, Where, and What to Wear?: Extracting Fashion Knowledge from Social Media. - Yunshan Ma; Xun Yang 001; Lizi Liao; Yixin Cao 002; Tat-Seng Chua (ACM Multimedia, 2019)

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. - Xu Chen 017; Hanxiong Chen; Hongteng Xu; Yongfeng Zhang; Yixin Cao 002; Zheng Qin 003; Hongyuan Zha (SIGIR, 2019)

Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. - Yixin Cao 002; Xiang Wang 010; Xiangnan He 001; Zikun Hu; Tat-Seng Chua (WWW, 2019)

Image Enhanced Event Detection in News Articles. - Meihan Tong; Shuai Wang 030; Yixin Cao 002; Bin Xu 001; Juanzi Li; Lei Hou 001; Tat-Seng Chua (AAAI, 2020)

Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. - Yixin Cao 002; Ruihao Shui; Liangming Pan; Min-Yen Kan; Zhiyuan Liu 001; Tat-Seng Chua (ACL, 2020)

Improving Event Detection via Open-domain Trigger Knowledge. - Meihan Tong; Bin Xu 001; Shuai Wang 030; Yixin Cao 002; Lei Hou 001; Juanzi Li; Jun Xie (ACL, 2020)

Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. - Zhiyuan Liu 001; Yixin Cao 002; Liangming Pan; Juanzi Li; Tat-Seng Chua (EMNLP (1), 2020)

Improving Neural Relation Extraction with Implicit Mutual Relations. - Jun Kuang; Yixin Cao 002; Jianbing Zheng 001; Xiangnan He 001; Ming Gao 001; Aoying Zhou (ICDE, 2020)

Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval. - Xun Yang 001; Jianfeng Dong; Yixin Cao 002; Xun Wang 007; Meng Wang 001; Tat-Seng Chua (SIGIR, 2020)

Reinforced Negative Sampling over Knowledge Graph for Recommendation. - Xiang Wang 010; Yaokun Xu; Xiangnan He 001; Yixin Cao 002; Meng Wang 001; Tat-Seng Chua (WWW, 2020)

Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. - Zhiyuan Liu 010; Yixin Cao 002; Liangming Pan; Juanzi Li; Zhiyuan Liu 001; Tat-Seng Chua (CoRR, 2020)

Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion. - Yixin Cao 002; Xiang Ji 005; Xin Lv; Juanzi Li; Yonggang Wen 001; Hanwang Zhang (ACL/IJCNLP (1), 2021)

How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction. - Zikun Hu; Yixin Cao 002; Lifu Huang; Tat-Seng Chua (ACL/IJCNLP (1), 2021)

Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition. - Meihan Tong; Shuai Wang 030; Bin Xu 001; Yixin Cao 002; Minghui Liu; Lei Hou 001; Juanzi Li (ACL/IJCNLP (1), 2021)

Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability. - Xin Lv; Yixin Cao 002; Lei Hou 001; Juanzi Li; Zhiyuan Liu 001; Yichi Zhang; Zelin Dai (EMNLP (1), 2021)

Pre-training and evaluation of numeracy-oriented language model. - Fuli Feng; Xilin Rui; Wenjie Wang 007; Yixin Cao 002; Tat-Seng Chua (ICAIF, 2021)

Missing Data Imputation for Solar Yield Prediction using Temporal Multi-Modal Variational Auto-Encoder. - Meng Shen 002; Huaizheng Zhang; Yixin Cao 002; Fan Yang; Yonggang Wen 001 (ACM Multimedia, 2021)

How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction. - Zikun Hu; Yixin Cao 002; Lifu Huang; Tat-Seng Chua (CoRR, 2021)

Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach. - Xin Lv; Yankai Lin; Yixin Cao 002; Lei Hou 001; Juanzi Li; Zhiyuan Liu 001; Peng Li 030; Jie Zhou 016 (ACL (Findings), 2022)

Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction. - Yubo Ma; Zehao Wang; Yixin Cao 002; Mukai Li; Meiqi Chen 001; Kun Wang; Jing Shao (ACL (1), 2022)

MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities. - Yubo Ma; Zehao Wang; Mukai Li; Yixin Cao 002; Meiqi Chen 001; Xinze Li; Wenqi Sun; Kunquan Deng; Kun Wang; Aixin Sun; Jing Shao (ACL (demo), 2022)

Interactive Contrastive Learning for Self-Supervised Entity Alignment. - Kaisheng Zeng; Zhenhao Dong; Lei Hou 001; Yixin Cao 002; Minghao Hu; Jifan Yu; Xin Lv; Lei Cao; Xin Wang 117; Haozhuang Liu; Yi Huang 017; Junlan Feng; et al. (CIKM, 2022)

ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification. - Meiqi Chen 001; Yixin Cao 002; Kunquan Deng; Mukai Li; Kun Wang; Jing Shao; Yan Zhang 004 (COLING, 2022)

R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference. - Hao Wang; Yixin Cao 002; Yangguang Li 001; Zhen Huang 006; Kun Wang; Jing Shao (EMNLP, 2022)

TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning. - Linhai Zhuo; Yuqian Fu; Jingjing Chen 001; Yixin Cao 002; Yu-Gang Jiang 001 (ACM Multimedia, 2022)

DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction. - Meihan Tong; Bin Xu 001; Shuai Wang 030; Meihuan Han; Yixin Cao 002; Jiangqi Zhu; Siyu Chen; Lei Hou 001; Juanzi Li (NAACL-HLT, 2022)

What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. - Li Lin 011; Yixin Cao 002; Lifu Huang; Shu'ang Li 015; Xuming Hu; Lijie Wen 001; Jianmin Wang 001 (SIGIR, 2022)

Training Free Graph Neural Networks for Graph Matching. - Zhiyuan Liu 001; Yixin Cao 002; Fuli Feng; Xiang Wang 010; Xindi Shang; Jie Tang 001; Kenji Kawaguchi; Tat-Seng Chua (CoRR, 2022)

ICLEA: Interactive Contrastive Learning for Self-supervised Entity Alignment. - Kaisheng Zeng; Zhenhao Dong; Lei Hou 001; Yixin Cao 002; Minghao Hu; Jifan Yu; Xin Lv; Juanzi Li; Ling Feng (CoRR, 2022)

Inferring Commonsense Explanations as Prompts for Future Event Generation. - Li Lin 011; Yixin Cao 002; Lifu Huang; Shu'ang Li 015; Xuming Hu; Lijie Wen 001; Jianmin Wang 001 (CoRR, 2022)

Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network. - Weijian Chen 001; Yixin Cao 002; Fuli Feng; Xiangnan He 001; Yongdong Zhang 001 (CoRR, 2022)

R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference. - Hao Wang; Yixin Cao 002; Yangguang Li 001; Zhen Huang 006; Kun Wang; Jing Shao (CoRR, 2022)

Knowledge Graph Embedding by Normalizing Flows. - Changyi Xiao; Xiangnan He 001; Yixin Cao 002 (AAAI, 2023)

CHEER: Centrality-aware High-order Event Reasoning Network for Document-level Event Causality Identification. - Meiqi Chen 001; Yixin Cao 002; Yan Zhang 004; Zhiwei Liu (ACL (1), 2023)

Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation. - Xinze Li; Yixin Cao 002; Muhao Chen 001; Aixin Sun (ACL (Findings), 2023)

Few-shot Event Detection: An Empirical Study and a Unified View. - Yubo Ma; Zehao Wang; Yixin Cao 002; Aixin Sun (ACL (1), 2023)

Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. - Shengqiong Wu; Hao Fei 001; Yixin Cao 002; Lidong Bing; Tat-Seng Chua (ACL (1), 2023)

Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction. - Changsen Yuan; Heyan Huang; Yixin Cao 002; Yonggang Wen 001 (ACL (1), 2023)

Robust Prompt Optimization for Large Language Models Against Distribution Shifts. - Moxin Li; Wenjie Wang 007; Fuli Feng; Yixin Cao 002; Jizhi Zhang; Tat-Seng Chua (EMNLP, 2023)

MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. - Zhiyuan Liu 001; Sihang Li 002; Yanchen Luo; Hao Fei 001; Yixin Cao 002; Kenji Kawaguchi; Xiang Wang 010; Tat-Seng Chua (EMNLP, 2023)

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! - Yubo Ma; Yixin Cao 002; Yong Hong; Aixin Sun (EMNLP (Findings), 2023)

CoVariance-based Causal Debiasing for Entity and Relation Extraction. - Lin Ren; Yongbin Liu; Yixin Cao 002; Chunping Ouyang (EMNLP (Findings), 2023)

A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. - Ruihao Shui; Yixin Cao 002; Xiang Wang 010; Tat-Seng Chua (EMNLP (Findings), 2023)

Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate. - Kai Xiong 002; Xiao Ding; Yixin Cao 002; Ting Liu 001; Bing Qin 001 (EMNLP (Findings), 2023)

FollowupQG: Towards information-seeking follow-up question generation. - Yan Meng; Liangming Pan; Yixin Cao 002; Min-Yen Kan (IJCNLP (1), 2023)

Context-aware Event Forecasting via Graph Disentanglement. - Yunshan Ma; Chenchen Ye 001; Zijian Wu 003; Xiang Wang 010; Yixin Cao 002; Tat-Seng Chua (KDD, 2023)

Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling. - Yu Zhao 043; Hao Fei 001; Yixin Cao 002; Bobo Li; Meishan Zhang; Jianguo Wei; Min Zhang 005; Tat-Seng Chua (ACM Multimedia, 2023)

Benchmarking Foundation Models with Language-Model-as-an-Examiner. - Yushi Bai; Jiahao Ying; Yixin Cao 002; Xin Lv; Yuze He; Xiaozhi Wang; Jifan Yu; Kaisheng Zeng; Yijia Xiao; Haozhe Lyu; Jiayin Zhang; Juanzi Li; et al. (NeurIPS, 2023)

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! - Yubo Ma; Yixin Cao 002; YongChing Hong; Aixin Sun (CoRR, 2023)

Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate. - Kai Xiong 002; Xiao Ding; Yixin Cao 002; Ting Liu 001; Bing Qin 001 (CoRR, 2023)

Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion. - Tao He; Ming Liu 004; Yixin Cao 002; Zekun Wang 001; Zihao Zheng; Zheng Chu; Bing Qin 001 (CoRR, 2023)

Intuitive or Dependent? Investigating LLMs' Robustness to Conflicting Prompts. - Jiahao Ying; Yixin Cao 002; Kai Xiong 002; Yidong He; Long Cui; Yongbin Liu (CoRR, 2023)

Learning To Teach Large Language Models Logical Reasoning. - Meiqi Chen 001; Yubo Ma; Kaitao Song; Yixin Cao 002; Yan Zhang 004; Dongsheng Li 002 (CoRR, 2023)

Finding and Editing Multi-Modal Neurons in Pre-Trained Transformer. - Haowen Pan; Yixin Cao 002; Xiaozhi Wang; Xun Yang 001 (CoRR, 2023)

To be or not to be? an exploration of continuously controllable prompt engineering. - Yuhan Sun; Mukai Li; Yixin Cao 002; Kun Wang; Wenxiao Wang 001; Xingyu Zeng; Rui Zhao (CoRR, 2023)

Structured, Complex and Time-complete Temporal Event Forecasting. - Yunshan Ma; Chenchen Ye 001; Zijian Wu 003; Xiang Wang 010; Yixin Cao 002; Liang Pang; Tat-Seng Chua (CoRR, 2023)

Learning Relation Prototype From Unlabeled Texts for Long-Tail Relation Extraction. - Yixin Cao 002; Jun Kuang; Ming Gao 001; Aoying Zhou; Yonggang Wen 001; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2023)

Multi-head attention graph convolutional network model: End-to-end entity and relation joint extraction based on multi-head attention graph convolutional network. - Zhihua Tao; Chunping Ouyang; Yongbin Liu; Tong Lee Chung; Yixin Cao 002 (CAAI Trans. Intell. Technol., 2023)

Collective prompt tuning with relation inference for document-level relation extraction. - Changsen Yuan; Yixin Cao 002; Heyan Huang (Inf. Process. Manag., 2023)

Improving Large Language Models in Event Relation Logical Prediction. - Meiqi Chen 001; Yubo Ma; Kaitao Song; Yixin Cao 002; Yan Zhang 004; Dongsheng Li 002 (ACL (1), 2024)

Planning Like Human: A Dual-process Framework for Dialogue Planning. - Tao He; Lizi Liao; Yixin Cao 002; Yuanxing Liu 001; Ming Liu 004; Zerui Chen; Bing Qin 001 (ACL (1), 2024)

Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. - Xinze Li; Yixin Cao 002; Liangming Pan; Yubo Ma; Aixin Sun (ACL (Findings), 2024)

Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers. - Haowen Pan; Yixin Cao 002; Xiaozhi Wang; Xun Yang 001; Meng Wang 001 (ACL (Findings), 2024)

Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models. - Changyi Xiao; Yixin Cao 002 (ACL (Findings), 2024)

Intuitive or Dependent? Investigating LLMs' Behavior Style to Conflicting Prompts. - Jiahao Ying; Yixin Cao 002; Kai Xiong 002; Long Cui; Yidong He; Yongbin Liu (ACL (1), 2024)

Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. - Zhihan Zhang 003; Yixin Cao 002; Chenchen Ye 001; Yunshan Ma; Lizi Liao; Tat-Seng Chua (ACL (1), 2024)

Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction. - Meishan Zhang; Hao Fei 001; Bin Wang 004; Shengqiong Wu; Yixin Cao 002; Fei Li 021; Min Zhang 005 (ACL (Findings), 2024)

Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective. - Meiqi Chen 001; Yixin Cao 002; Yan Zhang 004; Chaochao Lu (EMNLP (Findings), 2024)

SciAgent: Tool-augmented Language Models for Scientific Reasoning. - Yubo Ma; Zhibin Gou; Junheng Hao; Ruochen Xu; Shuohang Wang; Liangming Pan; Yujiu Yang; Yixin Cao 002; Aixin Sun (EMNLP, 2024)

QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism. - Bo Wang 134; Heyan Huang; Yixin Cao 002; Jiahao Ying; Wei Tang 015; Chong Feng 001 (EMNLP (Findings), 2024)

Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation. - Zehao Wang; Minye Wu; Yixin Cao 002; Yubo Ma; Meiqi Chen 001; Tinne Tuytelaars (EMNLP (Findings), 2024)

LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement. - Jiahao Ying; Mingbao Lin; Yixin Cao 002; Wei Tang 015; Bo Wang; Qianru Sun; Xuanjing Huang 001; Shuicheng Yan (EMNLP (Findings), 2024)

Information Extraction in Low-Resource Scenarios: Survey and Perspective. - Shumin Deng; Yubo Ma; Ningyu Zhang 001; Yixin Cao 002; Bryan Hooi (ICKG, 2024)

X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. - Minqian Liu; Ying Shen 006; Zhiyang Xu; Yixin Cao 002; Eunah Cho; Vaibhav Kumar; Reza Ghanadan; Lifu Huang (NAACL-HLT, 2024)

Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. - Kai Xiong 002; Xiao Ding; Ting Liu 001; Bing Qin 001; Dongliang Xu; Qing Yang 033; Hongtao Liu; Yixin Cao 002 (NeurIPS, 2024)

MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations. - Yubo Ma; Yuhang Zang; Liangyu Chen 005; Meiqi Chen 001; Yizhu Jiao; Xinze Li; Xinyuan Lu; Ziyu Liu; Yan Ma; Xiaoyi Dong; Pan Zhang 001; Liangming Pan; et al. (NeurIPS, 2024)

Knowledge Graph Completion by Intermediate Variables Regularization. - Changyi Xiao; Yixin Cao 002 (NeurIPS, 2024)

Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models. - Jiahao Ying; Yixin Cao 002; Yushi Bai; Qianru Sun; Bo Wang; Wei Tang 015; Zhaojun Ding; Yizhe Yang; Xuanjing Huang 001; Shuicheng Yan (NeurIPS, 2024)

SciAgent: Tool-augmented Language Models for Scientific Reasoning. - Yubo Ma; Zhibin Gou; Junheng Hao; Ruochen Xu; Shuohang Wang; Liangming Pan; Yujiu Yang; Yixin Cao 002; Aixin Sun; Hany Hassan Awadalla; Weizhu Chen (CoRR, 2024)

Have Seen Me Before? Automating Dataset Updates Towards Reliable and Timely Evaluation. - Jiahao Ying; Yixin Cao 002; Bo Wang 134; Wei Tang 015; Yizhe Yang; Shuicheng Yan (CoRR, 2024)

Event-level Knowledge Editing. - Hao Peng 015; Xiaozhi Wang; Chunyang Li; Kaisheng Zeng; Jiangshan Duo; Yixin Cao 002; Lei Hou 001; Juanzi Li (CoRR, 2024)

Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. - Kai Xiong 002; Xiao Ding; Ting Liu 001; Bing Qin 001; Dongliang Xu; Qing Yang 033; Hongtao Liu; Yixin Cao 002 (CoRR, 2024)

Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning. - Kai Xiong 002; Xiao Ding; Li Du; Jiahao Ying; Ting Liu 001; Bing Qin 001; Yixin Cao 002 (CoRR, 2024)

ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection. - Zhihao Sun; Haoran Jiang; Haoran Chen; Yixin Cao 002; Xipeng Qiu; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2024)

EvoWiki: Evaluating LLMs on Evolving Knowledge. - Wei Tang 015; Yixin Cao 002; Yang Deng 002; Jiahao Ying; Bo Wang; Yizhe Yang; Yuyue Zhao; Qi Zhang 001; Xuanjing Huang 001; Yu-Gang Jiang 001; Yong Liao (CoRR, 2024)

VEM2L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion. - Tao He; Ming Liu 004; Yixin Cao 002; Meng Qu; Zihao Zheng; Bing Qin 001 (Data Min. Knowl. Discov., 2024)

Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning. - Heyan Huang; Changsen Yuan; Qian Liu 012; Yixin Cao 002 (ACM Trans. Inf. Syst., 2024)

Screening through a broad pool: Towards better diversity for lexically constrained text generation. - Changsen Yuan; Heyan Huang; Yixin Cao 002; Qianwen Cao (Inf. Process. Manag., 2024)

HoGRN: Explainable Sparse Knowledge Graph Completion via High-Order Graph Reasoning Network. - Weijian Chen 001; Yixin Cao 002; Fuli Feng; Xiangnan He 001; Yongdong Zhang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues. - Tao He; Lizi Liao; Yixin Cao 002; Yuanxing Liu 001; Yiheng Sun; Zerui Chen; Ming Liu 004; Bing Qin 001 (AAAI, 2025)

Com² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models. - Kai Xiong 002; Xiao Ding; Yixin Cao 002; Yuxiong Yan; Li Du; Yufei Zhang; Jinglong Gao; Jiaqian Liu; Bing Qin 001; Ting Liu 001 (ACL (1), 2025)

XFinBench: Benchmarking LLMs in Complex Financial Problem Solving and Reasoning. - Zhihan Zhang 003; Yixin Cao 002; Lizi Liao (ACL (Findings), 2025)

Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution. - Tao He; Hao Li; Jingchang Chen; Runxuan Liu; Yixin Cao 002; Lizi Liao; Zihao Zheng; Zheng Chu; Jiafeng Liang; Ming Liu 004; Bing Qin 001 (ACL (Findings), 2025)

Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings. - Yubo Ma; Jinsong Li 001; Yuhang Zang; Xiaobao Wu; Xiaoyi Dong; Pan Zhang 001; Yuhang Cao; Haodong Duan; Jiaqi Wang 003; Yixin Cao 002; Aixin Sun (ACL (Findings), 2025)

RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style. - Yantao Liu; Zijun Yao 002; Rui Min; Yixin Cao 002; Lei Hou 001; Juanzi Li (ICLR, 2025)

Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs. - Haowen Pan; Xiaozhi Wang; Yixin Cao 002; Zenglin Shi; Xun Yang 001; Juanzi Li; Meng Wang 001 (ICLR, 2025)

Long Context vs. RAG: Strategies for Processing Long Documents in LLMs. - Xinze Li; Yushi Bai; Bowen Jin; Fengbin Zhu; Liangming Pan; Yixin Cao 002 (SIGIR, 2025)

MultiHGPT: Multi-task heterogeneous graph prompt tuning. - Yifan Wang; Yixin Cao 002; Zeping Li; Bowen Dong; Guangnan Ye; Hongfeng Chai (Inf. Process. Manag., 2025)

Think straight or think again? Continual joint learning of deduction, abduction and induction. - Kai Xiong 002; Xiao Ding; Yixin Cao 002; Yang Zhao 023; Ting Liu 001; Bing Qin 001 (Neural Networks, 2025)

Long Context vs. RAG for LLMs: An Evaluation and Revisits. - Xinze Li; Yixin Cao 002; Yubo Ma; Aixin Sun (CoRR, 2025)

Pairwise RM: Perform Best-of-N Sampling with Knockout Tournament. - Yantao Liu; Zijun Yao 002; Rui Min; Yixin Cao 002; Lei Hou 001; Juanzi Li (CoRR, 2025)

Exploring & exploiting high-order graph structure for sparse knowledge graph completion. - Tao He; Ming Liu 004; Yixin Cao 002; Zekun Wang 001; Zihao Zheng; Bing Qin 001 (Frontiers Comput. Sci., 2025)

Enhancing Chart-to-Code Generation in Multimodal Large Language Models via Iterative Dual Preference Learning. - Zhihan Zhang 003; Yixin Cao 002; Lizi Liao (CoRR, 2025)

Revisiting LLM Evaluation through Mechanism Interpretability: a New Metric and Model Utility Law. - Yixin Cao 002; Jiahao Ying; Yaoning Wang; Xipeng Qiu; Xuanjing Huang 001; Yu-Gang Jiang 001 (CoRR, 2025)

Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks. - Yixin Cao 002; Shibo Hong; Xinze Li; Jiahao Ying; Yubo Ma; Haiyuan Liang; Yantao Liu; Zijun Yao 002; Xiaozhi Wang; Dan Huang; Wenxuan Zhang 001; Lifu Huang; et al. (CoRR, 2025)

FRABench and GenEval: Scaling Fine-Grained Aspect Evaluation across Tasks, Modalities. - Shibo Hong; Jiahao Ying; Haiyuan Liang; Mengdi Zhang 002; Jun Kuang; Jiazheng Zhang; Yixin Cao 002 (CoRR, 2025)

Disentangling Language and Culture for Evaluating Multilingual Large Language Models. - Jiahao Ying; Wei Tang 015; Yiran Zhao 006; Yixin Cao 002; Yu Rong; Wenxuan Zhang 001 (CoRR, 2025)

Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models. - Ruiqi Zhang; Changyi Xiao; Yixin Cao 002 (CoRR, 2025)

Com2: A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models. - Kai Xiong 002; Xiao Ding; Yixin Cao 002; Yuxiong Yan; Li Du; Yufei Zhang; Jinglong Gao; Jiaqian Liu; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner. - Tao He; Rongchuan Mu; Lizi Liao; Yixin Cao 002; Ming Liu 004; Bing Qin 001 (CoRR, 2025)

EffiEval: Efficient and Generalizable Model Evaluation via Capability Coverage Maximization. - Yaoning Wang; Jiahao Ying; Yixin Cao 002; Yubo Ma; Yu-Gang Jiang 001 (CoRR, 2025)